I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
DEMO PAPER: Deep Reinforcement Learning for Real-Time Fear ..:
, In:
2023 IEEE Conference on Games (CoG)
,
Tu, Yuan
;
Mozgovoy, Maxim
- p. 1-2 , 2023
Link:
https://doi.org/10.1109/CoG57401.2023.10333157
RT T1
2023 IEEE Conference on Games (CoG)
: T1
DEMO PAPER: Deep Reinforcement Learning for Real-Time Fear Induction in an SCP-087-Inspired Horror Game
UL https://suche.suub.uni-bremen.de/peid=ieee-10333157&Exemplar=1&LAN=DE A1 Tu, Yuan A1 Mozgovoy, Maxim YR 2023 SN 2325-4289 K1 Deep learning K1 Neural networks K1 Prototypes K1 Games K1 Reinforcement learning K1 Real-time systems K1 Time factors K1 Deep reinforcement learning K1 horror game K1 SCP-087 K1 facial expression detection K1 valence arousal values K1 real-time fear induction SP 1 OP 2 LK http://dx.doi.org/https://doi.org/10.1109/CoG57401.2023.10333157 DO https://doi.org/10.1109/CoG57401.2023.10333157 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)